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Efficient Public Key Encryption with Disjunctive Keywords Search Using the New Keywords Conversion Method

by Yu Zhang 1,*, Yin Li 1 and Yifan Wang 2
1
School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China
2
Department of Computer Science, Wayne State University, Detroit 48202, USA
*
Author to whom correspondence should be addressed.
Information 2018, 9(11), 272; https://doi.org/10.3390/info9110272
Received: 8 October 2018 / Revised: 28 October 2018 / Accepted: 29 October 2018 / Published: 1 November 2018
(This article belongs to the Section Information Theory and Methodology)
Public key encryption with disjunctive keyword search (PEDK) is a public key encryption scheme that allows disjunctive keyword search over encrypted data without decryption. This kind of scheme is crucial to cloud storage and has received a lot of attention in recent years. However, the efficiency of the previous scheme is limited due to the selection of a less efficient converting method which is used to change query and index keywords into a vector space model. To address this issue, we design a novel converting approach with better performance, and give two adaptively secure PEDK schemes based on this method. The first one is built on an efficient inner product encryption scheme with less searching time, and the second one is constructed over composite order bilinear groups with higher efficiency on index and trapdoor construction. The theoretical analysis and experiment results verify that our schemes are more efficient in time and space complexity as well as more suitable for the mobile cloud setting compared with the state-of-art schemes. View Full-Text
Keywords: searchable encryption scheme; public key system; disjunctive keyword search; mobile security; data privacy searchable encryption scheme; public key system; disjunctive keyword search; mobile security; data privacy
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Zhang, Y.; Li, Y.; Wang, Y. Efficient Public Key Encryption with Disjunctive Keywords Search Using the New Keywords Conversion Method. Information 2018, 9, 272.

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